CLI

MCP Doesn't Suck. Your Agent Does. — Jan Čurn, Apify

MCP Doesn't Suck. Your Agent Does. — Jan Čurn, Apify

Jan Čurn, founder and CEO of Apify, argues that the backlash against MCP targets the wrong layer. Context bloat and token burn come from naive agent harnesses, not the protocol. He reviews the industry's three main fixes (sub-agents, progressive tool discovery and Code Mode), explains why agents work well with CLIs, proposes MCP for remote access and CLIs for local use, and demos mcpc, Apify's open-source universal MCP CLI client, alongside early Connector Evals results.

CLI vs MCP: How AI Agents Choose the Right Tool for the Job

CLI vs MCP: How AI Agents Choose the Right Tool for the Job

AI agents can interact with the world through either the Command Line Interface (CLI) or the Model Context Protocol (MCP). This summary explores the trade-offs between the two, highlighting CLI's efficiency for tasks the model is trained on, versus MCP's power of abstraction and governance for more complex, high-level operations.

Getting started with Codex

Getting started with Codex

This is a step-by-step walkthrough for onboarding to OpenAI Codex. It covers installing the CLI and VS Code extension, configuring your workflow with agents.md and config.toml, and applying effective prompting patterns. The session also dives into advanced use cases, including integrating external tools via MCPs, running Codex programmatically in headless mode, and building multi-agent systems with the Agents SDK.

Getting started with Codex

Getting started with Codex

A step-by-step walkthrough on getting started with OpenAI's Codex. This guide covers installation of the CLI and VS Code extension, configuration using `agents.md` and `config.toml`, effective prompting patterns, and advanced workflows like using the Model-Connectable Protocol (MCP) and the OpenAI Agents SDK for programmatic automation.

Learning Python Programming • Fabrizio Romano & Naomi Ceder

Learning Python Programming • Fabrizio Romano & Naomi Ceder

Fabrizio Romano, author of "Learning Python Programming," discusses the evolution of his book with Naomi Ceder. Key topics include the strategic shift from GUIs to CLIs, the evolving perspective on Python's type hinting, and the dual role of AI as a powerful tool and a potential threat to junior developer growth. Fabrizio emphasizes the importance of fundamental skills, mentorship, and the human element in the age of AI.

Backlog.md: Terminal Kanban Board for Managing Tasks with AI Agents — Alex Gavrilescu, Funstage

Backlog.md: Terminal Kanban Board for Managing Tasks with AI Agents — Alex Gavrilescu, Funstage

Alex Gavrilescu introduces Backlog.md, a Git-based project management tool designed to structure AI-driven development. By breaking down features into Markdown tasks and using a multi-step review process, it helps prevent AI agents from running out of context or deviating from requirements, enabling a more predictable and efficient workflow.